R codes used in full-text cluster analysis of publications in systematic literature review on food systems transformations

This are the R codes used to generate the research clusters and its respective plots in the paper "What are the ingredients for food systems change towards sustainability? - Insights from the literature" by Weber, Hanna; Poeggel, Karoline; Eakin, Hallie; Fischer, Daniel; Lang, Daniel; von Wehrden, Henrik; Wiek, Arnim, which is currently under revision. The code groups publications into different clusters based on co-abundancy of words. The main code is the file “using_ginko_explained”, which sources the codes “statistics” and “scopus”, as well as the csv-file "Conceptual_Vocabulary".

This code is a preliminary version. The authors are currently working on a cleaned-up version of the code for publishing it as an R-package.

Related Organizations

Leuphana University of Lüneburg
Germany

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average